Comments (2)
8Gb for batch2, 12Gb for batch 4
from realistic-neural-talking-head-models.
Is there any difference in the required memory for different branches? I get OOM for batch 1 with 10gb free GPU when trying to train model from master branch.
from realistic-neural-talking-head-models.
Related Issues (20)
- Fully replicable paper results HOT 2
- webcam results is very Terrible. Am I doing some steps wrong? HOT 2
- filepath is not correct in colab
- the pretrained weights dont match generator of model HOT 4
- torch=1.2.0 but ModuleNotFoundError: No module named 'torch.legacy'
- Can't open the voxceleb2 video files
- Error: Video corrupted or no landmarks visible
- save_disc caffe pretrained model convertion error. HOT 3
- question about paper HOT 1
- Bug in the code HOT 1
- Another bug uncovered(not sure)
- Would you kindly offer Pytorch_VGGFACE_IR.py and Pytorch_VGGFACE.pth ? HOT 1
- RuntimeError in resume train HOT 2
- About training model
- P_LEN and AdaIn implementation related questions
- Import error in dataset/preprocess.py
- No such file or directory: 'Pytorch_VGGFACE.pth' HOT 1
- how to fix this?
- no video on my fake output how to fix?
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